BCEA
BCEA: An R Package for Cost-Effectiveness Analysis - Published in JOSS (2022)
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Published in Journal of Open Source Software
Keywords
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Repository
Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the posterior distributions of suitable variables of costs and clinical benefits for two or more interventions, produces a health economic evaluation. Compares one of the interventions (the "reference") to the others ("comparators"). Produces many summary and plots to analyse the results
Basic Info
- Host: GitHub
- Owner: n8thangreen
- License: gpl-3.0
- Language: R
- Default Branch: dev
- Homepage: https://n8thangreen.github.io/BCEA/
- Size: 209 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 3
- Open Issues: 56
- Releases: 9
Topics
Metadata Files
README.md
BCEA: Bayesian cost-effectiveness analysis
Perform Bayesian Cost-Effectiveness Analysis in R.
:rocket: This is the development version of the R package BCEA
(currently on version 2.4.82). The stable version is now release 2.4.81,
on CRAN.
Contents
Overview
Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the posterior distributions of suitable variables of costs and clinical benefits for two or more interventions, produces a health economic evaluation. Compares one of the interventions (the “reference”) to the others (“comparators”).
Features
Main features of BCEA include:
- Cost-effectiveness analysis plots, such as CE planes and CEAC
- Summary statistics and tables
- EVPPI calculations and plots
Installation
Install the released version from CRAN with
r
install.packages("BCEA")
The development version (in this repo, which can be updated more quickly
and more often than the stable one) can be installed from
r-universe.dev, using the following command
r
install.packages(
'BCEA',
repos = c('https://giabaio.r-universe.dev', 'https://cloud.r-project.org')
)
Alternatively, you can intall the development version using remotes,
with the following command.
r
install.packages("remotes")
remotes::install_github("giabaio/BCEA")
NB: On Windows machines, you need to install a few dependencies, including Rtools first, e.g. by running
r
pkgs <- c("MASS", "Rtools", "remotes")
repos <- "https://cran.rstudio.com"
install.packages(pkgs, repos = repos, dependencies = "Depends")
before installing the package using remotes.
Articles
Examples of using specific functions and their different arguments are given in these articles:
- Get Started
- Set
bcea()Parameters: Constructor and Setters - Cost-Effectiveness Acceptability Curve Plots
- Cost-Effectiveness Efficiency Frontier
- Risk Aversion Analysis
- Expected Incremental Benefit Plot
- Paired vs Multiple Comparisons
Further details
The pkgdown site is here. More
details on BCEA are available in our book Bayesian
Cost-Effectiveness Analysis with the R Package
BCEA (published in the
UseR! Springer series). Also, details about the package, including some
references and links to a pdf presentation and some posts on my own
blog) are given here.
License
Contributing
Please submit contributions through Pull Requests, following the
contributing
guidelines.
To report issues and/or seek support, please file a new ticket in the
issue tracker.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
Owner
- Name: Dr Nathan Green
- Login: n8thangreen
- Kind: user
- Location: London
- Company: University College London (UCL)
- Website: https://n8thangreen.github.io/
- Repositories: 98
- Profile: https://github.com/n8thangreen
Senior Researcher in Statistics and Health Economics in the Department of Statistical Science @stats-ucl.
JOSS Publication
BCEA: An R Package for Cost-Effectiveness Analysis
Authors
Department of Statistical Science, UCL, Torrington Place, UK.
Department of Statistical Science, UCL, Torrington Place, UK., Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON, Canada., Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Department of Statistical Science, UCL, Torrington Place, UK.
Editor
Andrew Stewart
Tags
HTA health economics cost-effectivenessCitation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Baio" given-names: "Gianluca" orcid: "https://orcid.org/0000-0003-4314-2570" - family-names: "Berardi" given-names: "Andrea" orcid: https://orcid.org/0000-0002-2906-496X - family-names: "Heath" given-names: "Anna" orcid: https://orcid.org/0000-0002-7263-4251 - family-names: "Green" given-names: "Nathan" orcid: https://orcid.org/0000-0003-2745-1736 title: "BCEA: Bayesian Cost-Effectiveness Analysis" version: 2.4.6 doi: 10.1007/978-3-319-55718-2 date-released: 2023-11-20 url: "https://gianluca.statistica.it/software/bcea/"
GitHub Events
Total
- Create event: 6
- Commit comment event: 2
- Release event: 1
- Issues event: 8
- Delete event: 2
- Issue comment event: 8
- Push event: 78
- Pull request event: 10
Last Year
- Create event: 6
- Commit comment event: 2
- Release event: 1
- Issues event: 8
- Delete event: 2
- Issue comment event: 8
- Push event: 78
- Pull request event: 10
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Dr Nathan Green | n****n@y****k | 550 |
| Gianluca Baio | g****o@u****k | 194 |
| Andrea Berardi | A****i@P****m | 31 |
| Gianluca Baio | g****o@g****m | 31 |
| Gianluca Baio | g****a@s****t | 23 |
| Andrea Berardi | a****i@p****m | 9 |
| Gábor Csárdi | c****r@g****m | 3 |
| annaheath | 3****h | 1 |
| Tim Taylor | t****r@h****k | 1 |
| Mark Clements | m****s@k****e | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 82
- Total pull requests: 35
- Average time to close issues: 2 months
- Average time to close pull requests: 4 days
- Total issue authors: 6
- Total pull request authors: 4
- Average comments per issue: 0.77
- Average comments per pull request: 0.09
- Merged pull requests: 31
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 5
- Pull requests: 11
- Average time to close issues: about 1 month
- Average time to close pull requests: 12 days
- Issue authors: 1
- Pull request authors: 2
- Average comments per issue: 0.6
- Average comments per pull request: 0.0
- Merged pull requests: 9
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- n8thangreen (72)
- rowlandseymour (5)
- ajstewartlang (3)
- MikeLydeamore (1)
- giabaio (1)
- mclements (1)
Pull Request Authors
- n8thangreen (28)
- andbe (4)
- danielskatz (2)
- ajstewartlang (1)
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